Hi, I am conducting a resting state functional connectivity analysis and I am about to use 3dTcorr1d to correlate a seed’s signal with the rest of the brain. Is there any information available for how choosing -pearson vs -spearman, -ktaub or -quadrant would affect my results?
I’d appreciate any insight!
For almost any purpose, Pearson correlation is what you want. The others are experimental.
Spearman would be used if you expect a lot of outliers. Usually it will be almost identical to Pearson.
Taub’s k is really useful only when the data consists of a few levels (such a numbers 1, 2, 3, 4, or 5), not a continuously variable value.
Quadrant correlation is never useful, and is there just for fun fun fun in the sun sun sun.
That’s all I needed to know! Thanks.